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All Journal Jurnal Al-Dustur PELS (Procedia of Engineering and Life Science)
Muhammad Nur
Universitas Darussalam Gontor
Arts Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : PELS (Procedia of Engineering and Life Science)

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Classification of Calligraphy Writing Types Using Convolutional Neural Network Method (CNN) Oddy Virgantara Putra; Aziz Musthafa; Muhammad Nur; Muhamad Rido
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.808 KB) | DOI: 10.21070/pels.v2i0.1136

Abstract

Calligraphy is the art of beautiful Arabic writing in which a series of letters are formed in appropriate proportions, maintaining distance and accuracy containing verses from the Qur'an or Hadith. There is a challenge to recognize the type of calligraphy using machine learning. This study aims to classify the types of calligraphy writing for ordinary people who do not understand the differences between each type of calligraphy writing. This study builds a model using the Convolutional Neural Network (CNN) method. The image used will go through a noise cleaning, resizing, and cropping process. This method is to carry out the process of classifying the type of calligraphy using a dataset consisting of 230 of 2 different types of calligraphy, namely the Naskhi and Riq'ah types. 80% is used as training data and 20% for test data. In the modeling process there are two convolutional layers and two MaxPooling layers followed by a Fully connected layer. The CNN modeling results used to test the built data have an average percentage result of 89% accuracy from the training data used. For further research, it can be developed with other types of calligraphy.
Co-Authors Aziz Musthafa Muhamad Rido MUNAWAROH, HIFDHOTUL Oddy Virgantara Putra Qashmal Milzam